Platform guide

1 The command center The workspace home screen: where you stand in AI answers and what to do this week. 2 The Brand Truth Studio Verify facts, manage your brand identity registry, and set the guardrails answers are checked against. 3 Scans and results The run page, reading mention versus recommendation, and the sources behind each answer. 4 "Scans: demo mode vs live mode" What separates a demo scan from a live scan, what each costs, and when to use which. 5 Product overview pages A tour of the product overview screen, the KPI tiles, the outcome ladder, the two-surface split, and how to navigate to deeper views. 6 "The prompt library: questions, tags, versions" How prompts are structured, what the tree view shows, how to add or import questions, and what happens to your data when you edit the set. 7 The answers explorer Read the raw AI answers behind your scan numbers, filter by outcome and engine, and trace inaccurate claims back to the fact that was broken. 8 Competitor discovery and tracking How AI Native discovers competitors from your own scan data, what the share-of-voice leaderboard shows, and how to track and tier the names that matter. 9 Personas and buyer journeys How need-state personas work, what the 6-stage journey profile contains, how business weight affects scoring, and how to add or edit personas. 10 "The WHY ledger: sources behind every gap" How the WHY ledger turns scored answers into evidence-grounded reasons for each gap, with a topic and a channel to act on. 11 The brand identity registry How the identity registry controls presence measurement, what each field contains, how to manage it, and how to re-apply changes to historical scan data. 12 "The action plan: attack and defend queues" How opportunities are scored and ranked, what the attack and defend queues contain, and how to track what you shipped and measure whether it worked. 13 "Billing, credits, and the transparent ledger" How credits work, how estimates are formed, what the ledger shows for every transaction, and what happens to your balance when a scan succeeds, refunds, or fails. 14 Brand guardrails How to define rules for how AI should represent your brand, what the four rule types check, and how to read the compliance score. 15 Content Studio and CMS publishing How to generate content drafts from measurement gaps, move them through draft to published, and send them to your connected CMS. 16 "Experiments: before and after" How to freeze a baseline for one query, record one action, and let the verdict compute itself from later scans. 17 Reports and share links How to access the executive report, create tokenized read-only share links for clients, export raw data as CSV, and revoke links. 18 Trends and history How to read the trend chart, what the range and granularity filters do, how series breaks are marked, and what the action pins mean.